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20 October 2022 Infrared ship detection based on latent low-rank decomposition and salient feature fusion
Yonghua Li, Gang Liu, Jinxin Xiong, Menghan Jia, Wenbin Zhang
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124512D (2022) https://doi.org/10.1117/12.2657901
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
To improve the accuracy of infrared ship detection and more effective background suppression, we propose an infrared ship detection algorithm based on latent low-rank decomposition and salient feature fusion. First, to avoid the influence of the number of superpixel segmentation on the integrity of the GR saliency detection, multiple salient maps with different numbers of superpixels are taken large, and a single foreground coarse salient map of the ship target is obtained using a high-level central prior and graph regularization. Secondly, to suppress the noise influence and refine the foreground coarse saliency map, sparse salient features of the ship target image are extracted using a method based on latent low-rank decomposition. Then, the sparse and null salient features are fused with the feature values. Finally, the accurate ship target is segmented based on the OTSU algorithm. The subjective comparison experiments and quantitative analysis show that the infrared ship segmentation algorithm proposed in this paper has better performance in terms of accuracy and visual effect.
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Yonghua Li, Gang Liu, Jinxin Xiong, Menghan Jia, and Wenbin Zhang "Infrared ship detection based on latent low-rank decomposition and salient feature fusion", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124512D (20 October 2022); https://doi.org/10.1117/12.2657901
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KEYWORDS
Image segmentation
Detection and tracking algorithms
Image fusion
Image processing algorithms and systems
Target detection
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